Description

Key Skills Dataiku, Python, Data Quality Management, SDLC, Git, HTML/CSS/JavaScript, Data Governance, Data Engineering, API Integration, Dashboard Development

Good to Have Skills Experience with Flask and Dash frameworks, CI/CD principles, automated testing, metadata and lineage concepts integration with enterprise data governance tools, experience in financial services or highly regulated environments, knowledge of EUC/ITESS control requirements, model deployment and orchestration experience, plugin integration capabilities.

Roles & Responsibilities

• Build and maintain data quality pipelines in Dataiku using visual recipes, code recipes, and automation frameworks.
• Enhance and refactor existing solutions to support environment-agnostic SDLC operation ensuring portability across development environments.
• Implement scalable code components for profiling, threshold checks, rule execution, and exception handling processes.
• Partner with technology teams to design and deploy changes aligned to enterprise engineering standards.
• Translate data quality requirements into executable rule logic and implement thresholds, severity tiers, and alerting systems.
• Maintain exceptions and concerns workflows including automated monitoring, status updates, and comprehensive reporting capabilities.
• Lead technical work to maintain integration of Legal's data quality platform with EDO-approved enterprise tools.
• Develop and maintain highly interactive dashboards using Dataiku Webapps, Python frameworks, and web technologies.
• Automate data ingestion processes, monitor data integrity, and troubleshoot input issues across various systems.
• Identify automation opportunities and propose new data quality engineering solutions and AI-enabled prototypes.
• Provide structured communication with data quality teams, domain owners, technology partners, and reporting stakeholders.
• Maintain project plans, documentation packets, and release readiness materials across data quality projects and upgrades.

Experience Required Relevant experience in data engineering, data quality, or analytics engineering roles with strong technical communication skills and ability to manage multiple initiatives simultaneously.

Education Bachelor's degree required; Master's degree preferred in Computer Science, Data Engineering, Information Systems, or related technical field

Key Skills

Education

Any Graduate